A company has a small Python application that processes JSON documents and outputs the results to an on-premises SQL database. The application runs thousands of times each day. The company wants to move the application to the AWS Cloud. The company needs a highly available solution that maximizes scalability and minimizes operational overhead.
Which solution will meet these requirements?

• A.Place the JSON documents in an Amazon S3 bucket. Run the Python code on multiple Amazon EC2 instances to process the documents. Store the results in an Amazon Aurora DB cluster
• B.Place the JSON documents in an Amazon S3 bucket. Create an AWS Lambda function that runs the Python code to process the documents as they arrive in the S3 bucket. Store the results in an Amazon Aurora DB cluster.
• C.Place the JSON documents in an Amazon Elastic Block Store (Amazon EBS) volume. Use the EBS Multi-Attach feature to attach the volume to multiple Amazon EC2 instances. Run the Python code on the EC2 instances to process the documents. Store the results on an Amazon RDS DB instance.
• D.Place the JSON documents in an Amazon Simple Queue Service (Amazon SQS) queue as messages Deploy the Python code as a container on an Amazon Elastic Container Service (Amazon ECS) cluster that is configured with the Amazon EC2 launch type. Use the container to process the SQS messages.Store the results on an Amazon RDS DB instance.

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Can I use Provisioned IOPS with VPC?

• A.No
• B.Only with MSSQL based RDS
• C.Only Oracle based RDS
• D.Yes for all RDS instances

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A Solutions Architect is designing the storage layer for a production relational database. The database will run on Amazon EC2. The database is accessed by an application that performs intensive reads and writes, so the database requires the LOWEST random I/O latency.
Which data storage method fulfills the above requirements?

• A.Store data in Amazon DynamoDB and emulate relational database semantics
• B.Store data m a filesystem backed by Amazon Elastic File System (EFS)
• C.Store data in Amazon S3 and use a third-party solution to expose Amazon S3 as a filesystem to the database server
• D.Stripe data across multiple Amazon EBS volumes using RAID 0

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A company stores its data objects in Amazon S3 Standard storage. A solutions architect has found that 75% of the data is rarely accessed after 30 days. The company needs all the data to remain immediately accessible with the same high availability and resiliency, but the company wants to minimize storage costs.
Which storage solution will meet these requirements?

• A.Move the data objects to S3 Glacier Deep Archive after 30 days.
• B.Move the data objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days.
• C.Move the data objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 30 days.
• D.Move the data objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) immediately.

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A solution architect is performing a security review of a recently migrated workload. The workload is a web application that consists of amazon EC2 instances in an Auto Scaling group behind an Application Load balancer. The solution architect must improve the security posture and minimize the impact of a DDoS attack on resources.
Which solution is MOST effective?

• A.Enable VPC Flow Logs and store then in Amazon S3. Create a custom AWS Lambda functions that parses the logs looking for a DDoS attack. Modify a network ACL to block identified source IP addresses.
• B.Create a custom AWS Lambda function that adds identified attacks into a common vulnerability pool to capture a potential DDoS attack. use the identified information to modify a network ACL to block access.
• C.Configure an AWS WAF ACL with rate-based rules Create an Amazon CloudFront distribution that points to the Application Load Balancer. Enable the EAF ACL on the CloudFront distribution
• D.Enable Amazon GuardDuty and , configure findings written 10 Amazon GloudWatch Create an event with Cloud Watch Events for DDoS alerts that triggers Amazon Simple Notification Service (Amazon SNS) Have Amazon SNS invoke a custom AWS lambda function that parses the logs looking for a DDoS attack Modify a network ACL to block identified source IP addresses

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